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A Model for Management of Large-Area Crop Rotation
Abstract:
A model to describe an effective statistic index of crop rotation level is particularly appealing for management of large-area crop rotation, because the statistic index of crop rotation level is easy to provide fast and accurate information of large-area crop rotation. We experimentally realized such a statistic index of crop rotation level using a model based on data from satellite remote sensing images. The statistic index of crop rotation level describes the status of large-area crop rotation with a statistic period or frequency. Our analysis indicated that the statistic index of crop rotation level was mediated by processing the remote sensing images of rice and cotton. Taken together with the demonstrated computation of the statistic index of crop rotation level of XingHua City, Jiangsu Province, China, our results establish the application feasibility of the statistic index of crop rotation level in management of large-area crop rotation.
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Pages:
2775-2778
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Online since:
January 2014
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